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Updated: Sep 3, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
A parsimonious description of global functional brain organization in three spatiotemporal patterns
Taylor Bolt1,2, Jason S Nomi3, Danilo Bzdok4
1Emory University/Georgia Institute of Technology, Atlanta, GA, USA. taylor.s.bolt@gmail.com.
None:
Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly disparate insights into large-scale organization of the human brain. The brain's large-scale organization can be divided into two broad categories: zero-lag representations of functional connectivity structure and time-lag representations of traveling wave or propagation structure. In this study, we sought to unify observed phenomena across these two categories in the form of three low-frequency spatiotemporal patterns composed of a mixture of standing and traveling wave dynamics. We showed that a range of empirical phenomena, including functional connectivity gradients, the task-positive/task-negative anti-correlation pattern, the global signal, time-lag propagation patterns, the quasiperiodic pattern and the functional connectome network structure, are manifestations of these three spatiotemporal patterns. These patterns account for much of the global spatial structure that underlies functional connectivity analyses and unifies phenomena in resting-state functional MRI previously thought distinct.
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